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Turbulence and fire-spotting effects into wild-land fire simulators

机译:野外火灾模拟器的湍流和火灾效应

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摘要

This paper presents a mathematical approach to model the effects of phenomenawith random nature such as turbulence and fire-spotting into the existingwildfire simulators. The formulation proposes that the propagation of thefire-front is the sum of a drifting component (obtained from an existingwildfire simulator without turbulence and fire-spotting) and a randomfluctuating component. The modelling of the random effects is embodied in aprobability density function accounting for the fluctuations around the fireperimeter which is given by the drifting component. In past, this formulationhas been applied to include these random effects into a wildfire simulatorbased on an Eulerian moving interface method, namely the Level Set Method(LSM), but in this paper the same formulation is adapted for a wildfiresimulator based on a Lagrangian front tracking technique, namely the DiscreteEvent System Specification (DEVS). The main highlight of the present study isthe comparison of the performance of a Lagrangian and an Eulerian movinginterface method when applied to wild-land fire propagation. Simple idealisednumerical experiments are used to investigate the potential applicability ofthe proposed formulation to DEVS and to compare its behaviour with respect tothe LSM. The results show that DEVS based wildfire propagation modelqualitatively improves its performance (e.g., reproducing flank and back fire,increase in fire spread due to pre-heating of the fuel by hot air andfirebrands, fire propagation across no fuel zones, secondary fire generation,\dots). Though the results presented here are devoid of any validation exerciseand provide only a proof of concept, they show a strong inclination towards anintended operational use. The existing LSM or DEVS based operational simulatorslike WRF-SFIRE and ForeFire respectively can serve as an ideal basis for thesame.
机译:本文提出了一种数学方法来模拟具有随机性质的现象的影响,例如湍流和着火到现有的野火模拟器中。该公式建议火锋的传播是漂移分量(从现有的野火模拟器获得的,没有湍流和火斑)和随机波动分量之和。随机效应的建模体现在概率密度函数中,该函数考虑了漂移组件给出的围绕火眼图的波动。过去,已采用此公式将这些随机效应包括在基于欧拉运动界面方法(即“水平集方法”(LSM))的野火模拟器中,但在本文中,相同的提法适用于基于拉格朗日前沿跟踪的野火模拟器技术,即DiscreteEvent系统规范(DEVS)。本研究的主要亮点是将拉格朗日法和欧拉运动界面法应用于野火蔓延的性能进行比较。通过简单的理想化数值实验来研究拟议制剂对DEVS的潜在适用性,并比较其相对于LSM的行为。结果表明,基于DEVS的野火传播模型可以显着改善其性能(例如,重燃侧翼和背火,由于热空气和火星对燃料进行预热而导致的火势蔓延增加,无燃料区域的火势蔓延,二次生火,\点)。尽管此处给出的结果没有任何验证工作,仅提供了概念证明,但它们显示了对预期的操作使用的强烈倾向。现有的基于LSM或DEVS的操作仿真器,例如WRF-SFIRE和ForeFire分别可以用作相同的理想基础。

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